Job Description

We are hiring Data Scientist resources for our client in Kolkata.

Interested candidates please send updated resumes to hcm_executive@pnrsoftsol.com for quick response.

Data Scientist/Analytics Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Participate and lead, when needed, the project meetings with the customer
• Manage multiple development designs and projects to meet project and customer required time lines.
• Provide Customer Training as required
• Participate in internal projects as required
• Hands on experience with data models and data warehousingtechnologies.
• Candidate must be organized and analytical, adept at working in a team environment, able to design and implement a project schedule, and able to handle multiple priorities.

Skills and Qualifications:

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Experience in SAS, Oracle Advanced Analytics, SPSS will be an advantage
• Great communication skills
• Experience with data visualization tools, such as D3.js, GGplot, etc. Experience in otherVisualization tools like OBIEE, Power BI, Tableau, Qlikview shall be added advantage.
• Proficiency in using query languages such as SQL, Hive, Pig is desirable.
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase will be added advantage.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills
• Data-oriented personality

Other Skills

• Communicate with Impact & Empathy
• Develop Self & Others through Coaching
• Build & Sustain Relationships
• Be Passionate about Client Service
• Be Curious: Learn, Share & Innovate
• Lead & Contribute to Team Success
• Demonstrate Courage & Integrity
• Acquire and Apply Commercial & Technical Expertise
• Be Open Minded, Practical & Agile with Change
• Bachelor/Master in Statistics/Economics or MBA desirable. BE/BTech/MTech with above experience can also be interviewed.
• Experience – 2 to 4 years with at least 2-3 project lifecycle experience in data science.